Deep learning assisted heuristic tree search for the container pre-marshalling problem A Hottung, S Tanaka, K Tierney Computers & Operations Research 113, 104781, 2020 | 81 | 2020 |
Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem A Hottung, K Tierney arXiv preprint arXiv:1911.09539, 2019 | 70 | 2019 |
A biased random-key genetic algorithm for the container pre-marshalling problem A Hottung, K Tierney Computers & Operations Research 75, 83-102, 2016 | 47 | 2016 |
Learning a latent search space for routing problems using variational autoencoders A Hottung, B Bhandari, K Tierney International Conference on Learning Representations, 2021 | 28 | 2021 |
Efficient Active Search for Combinatorial Optimization Problems A Hottung, YD Kwon, K Tierney arXiv preprint arXiv:2106.05126, 2021 | 20 | 2021 |
Machine learning meets partner matching: Predicting the future relationship quality based on personality traits I Großmann, A Hottung, A Krohn-Grimberghe PloS one 14 (3), e0213569, 2019 | 14 | 2019 |
Context-and Data-driven Satisfaction Analysis of User Interface Adaptations Based on Instant User Feedback E Yigitbas, A Hottung, SM Rojas, A Anjorin, S Sauer, G Engels Proceedings of the ACM on Human-Computer Interaction 3 (EICS), 1-20, 2019 | 13 | 2019 |
Neural large neighborhood search for routing problems A Hottung, K Tierney Artificial Intelligence 313, 103786, 2022 | 1 | 2022 |
Simulation-guided Beam Search for Neural Combinatorial Optimization J Choo, YD Kwon, J Kim, J Jae, A Hottung, K Tierney, Y Gwon arXiv preprint arXiv:2207.06190, 2022 | 1 | 2022 |
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems L Bliek, P da Costa, RR Afshar, Y Zhang, T Catshoek, D Vos, S Verwer, ... arXiv preprint arXiv:2201.10453, 2022 | 1 | 2022 |
Predicting relationship quality based on personality traits: A machine learning approach to improve reproducibility I Großmann, A Hottung, AK Grimberghe Empirische Evaluationsmethoden Band 22 Workshop 2017, 83, 2018 | 1 | 2018 |